Volume 2, Issue 2 (2026) – 11 articles
Cover Picture: The iontronic memristor has attracted growing attention as a promising candidate for neuromorphic computing and sensing. Recently, a novel iontronic memristor, termed the ion-shuttling memristor (ISM), has been proposed. Benefiting from its bio-mimicking structure, ISM can emulate ion-selective neuron functions alongside basic functions. ISM has several potential advantages, including interfacial receptors and the incorporation of multiple ionophores. On this basis, ISM may pave the way for future applications, such as sophisticated multi-carrier neuromorphic computing and neuromorphic sensing.
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Back Cover Picture: Solid-liquid triboelectric nanogenerators are promising for blue-energy harvesting and self-powered sensing, yet a quantitative framework linking interfacial charge evolution to electrical output has remained lacking. A unified ionic-electrostatic model is developed that integrates solid-liquid contact electrification, electrical double layer screening, electrode induction, and droplet hydrodynamics. The framework establishes a two-stage operating mechanism in which charge initially accumulates toward saturation, followed by an induction-dominated response governed by the time-varying wetted area. By introducing an EDL-screened coupling factor and a geometry-aware induced-charge formalism, characteristic bipolar current and voltage waveforms are quantitatively reproduced, and the dependencies of electrical output on electrolyte concentration, droplet height, and load conditions are elucidated. This work provides a predictive theoretical basis for understanding signal formation in SL-TENGs and offers practical guidance for device design in energy harvesting and water-environment sensing.
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